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PNC Financial Services Logo

Data Engineer Sr-Python & Pyspark

PNC Financial Services

$110,500 - $171,925
Aug 19, 2025
Birmingham, AL, USA • Dallas, TX, USA • Pittsburgh, PA, USA • Strongsville, OH, USA
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At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve, and this role is looking to solve the problem of delivering the best experience for our customers by leveraging data engineering expertise.

Requirements

  • Extensive experience with big data technologies and distributed computing tools (Hadoop, Spark, Hive Kafka, etc.)
  • Strong proficiency in relevant programming languages such as Python, PySpark, Spark, SQL
  • Proficient in Containerization (OpenShift, Kubernetes, Docker, etc.)
  • Experience with public cloud platforms – Apache Ice-burg and AWS - S3
  • Knowledge of Unix/Linux shell scripting
  • Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning
  • Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, Software Development Life Cycle

Responsibilities

  • Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices.
  • Develops, supports and implements data services for multiple applications to meet business objectives and user requirements.
  • Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development.
  • Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow.
  • Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics
  • Leads in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements.
  • Oversees the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability.

Other

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities
  • Bachelors degree
  • 5+ years of industry-relevant experience
  • Roles at this level typically require a university / college degree, with specific certifications often required